The client, a dietary platform owner, recognized the potential of GenAI in addressing key business challenges. The primary objectives included enhancing ingredient and recipe search, accelerating recommendations, personalizing meal plans, automating chatbot interactions, and reducing operational costs. A critical requirement was data security, ensuring that all information was stored in an isolated environment. The solution was a virtual dietitian that replicates human-like interactions, providing personalized guidance and an intuitive user experience.

The AWS-powered solution equipped the dietary platform with a modern interface, enabling seamless interaction with a virtual dietitian. Leveraging Amazon Lex for input processing, queries are identified and routed to an AWS Lambda function, which utilizes Amazon Kendra and SageMaker to generate personalized responses. This architecture ensures fast and accurate recommendations, significantly improving service quality and user satisfaction.

By integrating the virtual dietitian, the company expanded its service offerings with features that enhance user experience. The system allows users to inquire about diets and recipes with real-time modifications, delivering highly personalized recommendations. Automation reduced operational costs, increased user engagement, and ensured platform scalability and data security.